M 0 n t e Proceedings of the Centro Stefano Franscini Veritil Ascona Edited by H. Fluhler, ETH Zurich Automatic Extraction of Man-Made Objects from Aerial and Space Images (II Edited by A. Gruen E.P. Baltsavias O. Henricsson Springer Basel AG Editors: Prof. Dr. Armin Gruen Dr. Emmanuel P. Baltsavias Institute of Geodesy & Photogrammetry Institute of Geodesy & Photogrammetry ETH Hănggerberg ETH H6nggerberg CH-8093 Zurich CH-8093 Zurich Tel.: +41-1-6333038 Tel.: +41-1-6333042 Fax: +41-1-633 11 01 Fax: +41-1-633 11 01 E-mail: [email protected] E-mail: [email protected] Dr. Olof Henricsson Institute of Geodesy & Photogrammetry ETH Hănggerberg CH-8093 Zurich A CIP catalogue record for this book is available from the Library of Congress, Washington D.C., USA Die Deutsche Bibliothek Cataloging-in-Publication Data Automatic extraction of man-made objects from aerial and space images / ed. by A. Gruen ... - Basel ; Boston; Berlin: Birkhăuser (Monte Verita) 2 (1997) ISBN 978-3-0348-9822-5 ISBN 978-3-0348-8906-3 (eBook) DOI 10.1007/978-3-0348-8906-3 This work is subject to copyright. AII rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting, reproduction on mlcrofilms or in other ways, and storage in data banks. For any kind of use, permission of the copyright owner must be obtained. © 1997 Springer Basel AG Originally published by Birkhăuser Verlag in 1997 Softcover reprint of the hardcover 1s t edition 1997 Camera-ready copy prepared by the editors. Printed on acid-free paper produced from chlorine-free pulp. TeF = 987654321 v Preface The success of the first Workshop on "Automatic Extraction of Man Made Objects from Aerial and Space Images" in April 1995 convinced us that a follow-up event should be seriously considered. Being recently one of the most active areas in computer vision and photogrammetry, the techniques of building and road extraction from images have made great progress towards operational use. This is also a field where the disciplines of computer vision and photogrammetry have closely cooperated towards finding synergistic solutions for the benefit of the issue as a whole. Therefore, after screening the results of the XVIIlth ISPRS Congress, Vienna, 9-19 July 1996, we decided to push forward with the preparation of what became known as "ASCONA '97", the second Workshop of this kind at the splendid Conference Center at Monte Verita, Ascona, Switzerland. As a result, from 4 to 9 May 1997 a group of 66 researchers, developers and users from 20 countries and 5 continents assembled under the administrative umbrella of the Centro Stefano Franscini of the Federal Institute of Technology (ETH) Zurich at Monte Verita in order to critically assess the progress in building and road extraction and to develop visions and concepts for future work. It turned out. that about two thirds of the participants had registered already for the first Workshop in 1995 and all relevant groups worldwide did show up again. This year's Workshop featured 12 Technical Sessions with ample time for discussions and two sessions solely devoted to general discussions. The great majority of presentations dealt with different levels of automation for building and road extraction from aerial images, and some from satellite images. Thereby, a clear trend became obvious: from the traditional computer vision concept of monocular (single image) extraction to photogrammetric multi image approaches. In addition, it was generally agreed that multi-cue algorithms are superior to single-cue solutions. This book features all presentations given at the Workshop. We have arranged the contributions in sequence according to the following issues: General Topics and Scene Reconstruction, Building Detection and Reconstruction, Road Extraction, Map/GIS-based Methods and Visualisation. We anticipate that this volume represents a quasi complete account of the current state-of the-art in building and road extraction. And we sincerely hope that it constitutes valuable reference material for quite some time, even under the auspices of seemingly ever faster developing technology and methodology. We would like to thank all individuals who contributed to the organisation and administration of this Workshop. We also acknowledge the support provided by the Centro Stefano Franscini through Mrs. Katia Bastianelli. Last but not least we all appreciated a sudden change of mind of the raingods, who decided after a few cloudy days and a particularly wet excursion to Bellinzona to clear up the skies and to give all participants a short but impressive glimpse at the many natural and man-made beauties of Monte Verita's environment. The Editors Zurich, May 1997 Institute of Geodesy and Photogrammetry ETH Zurich VII Table of Contents General Topics and Scene Reconstruction An Overview of DARPA's Research Program in Automatic Population of Geospatial Databases T. M. Strat, D. Climenson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 3 A Testbed for the Evaluation of Feature Extraction Techniques in a Time Constrained Environment J. J. Pearson, L. A. Oddo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 13 The Role of Artificial Intelligence in the Reconstruction of Man·Made Objects from Aerial Images F. Ade .......................................................... 23 Scene Reconstruction Research· Towards an Automatic System F. Stolle, A. Hanson, C. Jaynes, E. Riseman, H. Schultz ................. " 33 Semantic Modelling of Man·Made Objects by Production Nets U. Stilla, E. Michaelsen .......................................... " 43 From Large·Scale DTM Extraction to Feature Extraction 1 Loodts ........................................................ 53 Building Detection and Reconstruction 3·D Building Reconstruction with ARUBA: A Qualitative and Quantitative Evaluation O. Henricsson, E. Baltsavias ...................................... " 65 A System for Building Detection from Aerial Images R. Nevatia, C. Lin, A. Huertas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 77 On the Reconstruction of Urban House Roofs from Aerial Images D. Frere, M. Hendrich, J. Vandekerckhove, T. Moons, L. Van Gool ........ " 87 Image.Based Reconstruction of Informal Settlements S. Mason, E. Baltsavias . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 97 A Model Driven Approach to Extract Buildings from Multi·V iew Aerial Imagery L. Spreeuwers, K. Schutte, Z. Houkes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 109 Automated Building Extraction from Digital Stereo Imagery Z. Shi, R. Shibasaki, S. Murai ...................................... 119 Application of Semi·Automatic Building Acquisition E. Gulch . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 129 On the Integration of Object Modeling and Image Modeling in Automated Building Extraction from Aerial Images V. Steinhage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 139 TOBAGO· A Topology Builder for the Automated Generation of Building Models A. Gruen, H. Dan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 149 VIII Crestlines Constribution to the Automatic Building Extraction Y. Uchervy, C. Louis, O. Monga .................................... 161 Recognizing Buildings in Aerial Images F. lung, B. ledynak, D. Geman ..................................... 173 Above-Ground Objects in Urban Scenes from Medium Scale Aerial Imagery O. Dissard, C. Baillard, H. Maitre, O. lamet. . . . . . . . . . . . . . . . . . . . . . . . . .. 183 Digital Surface Models for Building Extraction U. Weidner ..................................................... 193 Extracting Artificial Surface Objects from Airborne Laser Scanner Data C. Hug ......................................................... 203 Interpretation of Urban Surface Models using 2D Building Information N. Haala, C. Brenner ............................................. 213 Least Squares Matching for Three Dimensional Building Reconstruction H. Wiman . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 223 Assessment of the Effects of Resolution on Automated DEM and Building Extraction l. P. Muller, C. Ourzik, T. Kim, l. Dowman . . . . . . . . . . . . . . . . . . . . . . . . . . .. 233 Road Extraction The Role of Grouping for Road Extraction C. Steger, H. Mayer, B. Radig ...................................... 245 Artificial Intelligence in 3-D Feature Extraction l. C. Trinder, Y. Wang, A. Sowmya, M. Palhang ........................ 257 Updating Road Maps by Contextual Reasoning G. Vosselman, M. de Gunst ......................................... 267 Fast Robust Tracking of Curvy Partially Occluded Roads in Clutter in Aerial Images M. Barzohar, M. Cohen, l. Ziskind, D. B. Cooper ....................... 277 Linear Feature Extraction with 3-D LSB-Snakes A. Gruen, H. Li . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 287 Context-Supported Road Extraction A. Baumgartner, W. Eckstein, H. Mayer, C. Heipke, H. Ebner. . . . . . . . . . . . .. 299 Map/GIS.Based Methods Three-Dimensional Description of Dense Urban Areas using Maps and Aerial Images M. Rowe, H. Maitre .. '. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 311 MOSES: A Structural Approach to Aerial Image Understanding F. Quint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 323 An Approach for the Extraction of Settlement Areas K.-l Schilling, T. Vogtle. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 333 IX Extraction of Polygonal Features from SateUite Images for Automatic Registration: The ARCHANGEL Project l. Dowman, R. Ruskone. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 343 Visualisation A Set of Visualization Data Needs in Urban Environmental Planning & Design for Photogrammetric Data 1. Danahy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 357 A Virtual Reality Model of a Major International Airport W Schickler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 367 Managing Large 3D Urban Database Contents Supporting Phototexture and Levels of Detail M. Gruber, M. Kofler, F. Leberl. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 377 List of Workshop Participants ........................................ 387 Author Index ...................................................... 393 General Topics and Scene Reconstruction
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